AI Engineer

Tata Consultancy Services

Minnetonka (MN)

On-site

USD 80,000 - 110,000

Full time

14 hours ago
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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Support
Insurance Options
Commuter Benefits
Certification & Training Reimbursement
Vacation & Holidays
401K Plan & Bonus
Student Loan Refinancing

Job summary

Tata Consultancy Services is seeking engineers skilled in Python and AI/ML, with a focus on NLP and prompt engineering to build effective agent solutions. You will work with RAG data handling, vector databases, and RESTful APIs within an Agile team environment.

The role emphasizes domain adaptability, attention to detail, and ethical awareness while delivering robust, testable software across microservices and data pipelines.

Qualifications

  • Hands-on experience with Python and software engineering practices.
  • Experience building and consuming RESTful APIs, microservices, and data formats (JSON/XML).
  • Strong fundamentals in prompts, ML concepts, and data handling for AI agents.

Responsibilities

  • Design and implement AI/ML driven solutions including NLP/chatbots.
  • Craft and iterate prompts, run few-shot experiments, and ensure output formats.
  • Integrate AI components with APIs, data stores, and unstructured data pipelines.
  • Collaborate in sprints, test edge cases, and maintain code quality with testing.

Skills

AI/ML Knowledge
Prompt Engineering
RAG and Data Handling
API and Integration Skills
Data Structures & Algorithms
Debugging & Problem-Solving
Agile and Collaborative Mindset
Domain Adaptability
Attention to Detail & Quality
Ethical Awareness

Education

Bachelor of Computer Science

Tools

Python
Git

Job description

  • AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
  • Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
  • RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
  • API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
  • Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
  • Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
  • Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
  • Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
  • Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
  • Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Job Description
  • Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
  • AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
  • Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
  • RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
  • API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
  • Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
  • Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
  • Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
  • Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
  • Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
  • Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.

Salary Range: $80,000- $110,000 a year

TCS Employee Benefits Summary
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications:
  • BACHELOR OF COMPUTER SCIENCE
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